出海雷达

高级分析工程师

Senior Analytics Engineer

开发工程限定地区(需当地身份)
公司Accesa & RaRo
薪资未公开
工作地点Canada
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间3 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

我们正在聘请一个主要客户,并寻找一名高级分析工程师加入谷歌云生态系统的大规模数据平台现代化倡议,支持企业数据仓库工作负载从 Teradata 迁移到 BigQuery. 在这个角色中,你将发现和管理中央的共同数据模型 (CDM) 枢纽,支持消费团队创建新的数据发言人,并建立对数据模型和商业 KPI 的深入了解以确保它们在整个平台上得到一致的实施和正确使用。责任 ·构建和维护数据管道:· 推动数据仓库迁移:通过分析,翻译和验证现有数据模型和逻辑来支持从 Teradata 到 BigQuery 的过渡。·拥有共同数据模型:发现,记录和管理 CDM 中心,确保团队一致性,治理和无的数据消费。· 实现数据平台采用:支持新 CDM 用户的安装,提供有关数据模型使用和集成最佳实践的指导。· 将数据与业务目标协调:分析业务 KPI,确保其定义,计算和使用在数据模型中得到准确反映。· 做为数据模型专家:保持对数据结构,血统和语义的深入了解,成为利益相关者的主要参考点。· 确保数据质量和信任:通过 Terdata 和 BigQuery 环境进行测试,验证和调整活动以保证数据精度。·优化平台性能:提高 BigQuery 的工作负载来实现性能,效率,成本和长期维护性。·促进工程标准:促进文件,建模标准以及加强整个数据平台的最佳实践。· 团队合作:与工程师,分析师,建筑师和业务利益相关者合作提供可信赖且被理解的数据产品。必须有 · 专业经验作为分析工程师,数据工程师或 BI 工程师,拥有高级资格和自主权水平。· 强大,实践中的 SQL 专业知识,包括复杂转型,分析查询和性能优化。· Google 云平台,特别是 BigQuery 的实际经验。· 与 Dataform (或类似的 SQL)有实践经验。

查看英文原文

We are hiring for a major customer and looking for a Senior Analytics Engineer to join a large-scale data platform modernization initiative in the Google Cloud ecosystem, supporting the migration of enterprise data warehouse workloads from Teradata to BigQuery. In this role, you will discover and manage the central Common Data Model (CDM) hub, support the creation of new data spokes for consuming teams, and build a deep understanding of the data model and business KPIs to ensure they are implemented consistently and used correctly across the platform.
Responsibilities

  • Build and maintain data pipelines: Design, develop, and optimize scalable data transformation pipelines in BigQuery using Dataform and SQL, ensuring reliability and performance.
  • Drive data warehouse migration: Support the transition from Teradata to BigQuery by analyzing, translating, and validating existing data models and logic.
  • Own the Common Data Model: Discover, document, and manage the CDM hub, ensuring consistency, governance, and seamless data consumption across teams.
  • Enable data platform adoption: Support the onboarding of new CDM consumers, providing guidance on data model usage and integration best practices.
  • Align data with business goals: Analyze business KPIs and ensure their definitions, calculations, and usage are accurately reflected in the data model.
  • Act as a data model expert: Maintain deep knowledge of data structures, lineage, and semantics, serving as a key reference point for stakeholders.
  • Ensure data quality and trust: Drive testing, validation, and reconciliation activities across Teradata and BigQuery environments to guarantee data accuracy.
  • Optimize platform performance: Improve BigQuery workloads for performance, cost efficiency, and long-term maintainability.
  • Promote engineering standards: Contribute to documentation, modeling standards, and best practices that strengthen the overall data platform.
  • Collaborate across teams: Partner with engineers, analysts, architects, and business stakeholders to deliver trusted and well-understood data products.

Must Have

  • Professional experience as an Analytics Engineer, Data Engineer, or BI Engineer, with a senior level of ownership and autonomy.
  • Strong, hands-on SQL expertise, including complex transformations, analytical queries, and performance optimization.
  • Practical experience with Google Cloud Platform, in particular BigQuery.
  • Hands-on experience with Dataform (or a similar SQL-based transformation framework such as dbt, with the willingness to work with Dataform).
  • Solid understanding of data modeling concepts (dimensional modeling, layered architectures, hub-and-spoke / common data model approaches).
  • Ability to understand business KPIs and translate their definitions and usage into correct, maintainable data model implementations.
  • Experience ensuring data quality through testing, validation, and reconciliation of datasets.
  • Regular use of AI tools to improve productivity, automate or reduce repetitive work, support decision-making, and deliver higher-quality outcomes.
  • Ability to use AI tools responsibly by structuring effective prompts, critically validating outputs, understanding limitations, and taking ownership of the final result.
  • Excellent English communication skills, including the ability to communicate design decisions to technical and non-technical stakeholders, and to thrive in a fast-paced, agile environment

Nice to Have

  • Hands-on experience with Teradata (Teradata SQL, BTEQ) or with Teradata-to-BigQuery migration projects.
  • Experience with Python for data processing, automation, or tooling.
  • Experience with other GCP data services (Cloud Composer / Airflow, Dataflow, Pub/Sub, Cloud Storage, Dataplex).
  • Familiarity with BI and reporting tools (e.g., Looker, Power BI, Tableau) and how KPIs are consumed downstream.
  • Exposure to data governance, data cataloging, or lineage practices and tooling.
  • Familiarity with CI/CD and infrastructure-as-code practices applied to data pipelines.
  • Google Cloud certification (e.g., Professional Data Engineer).

As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.
At Accesa you can
Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.

  • Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.
  • Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.
  • Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance.
  • Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.

Company Description
Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth.
A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions.
With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community.
Originally posted on Himalayas

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